infinite-dataset-hub/CustomerInteractionPatterns

CustomerInteractionPatterns数据集旨在帮助机器学习从业者理解和预测电信行业内的客户支持互动。数据集包括客户人口统计信息、支持请求类型、客户满意度水平等特征，每一行代表一个独特的客户互动，并附有表示整体客户体验质量的标签。

The CustomerInteractionPatterns dataset is designed to assist Machine Learning practitioners in understanding and predicting customer support interactions within the telecom industry. It encompasses various features such as customer demographics, types of support requests, and customer satisfaction levels. Each row represents a unique customer interaction, with an associated label indicating the overall customer experience quality (e.g., positive, negative, neutral).